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Free DICOM de-identification tools in clinical research: functioning and safety of patient privacy

Overview of attention for article published in European Radiology, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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10 X users
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1 patent

Citations

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78 Dimensions

Readers on

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183 Mendeley
Title
Free DICOM de-identification tools in clinical research: functioning and safety of patient privacy
Published in
European Radiology, June 2015
DOI 10.1007/s00330-015-3794-0
Pubmed ID
Authors

K. Y. E. Aryanto, M. Oudkerk, P. M. A. van Ooijen

Abstract

To compare non-commercial DICOM toolkits for their de-identification ability in removing a patient's personal health information (PHI) from a DICOM header. Ten DICOM toolkits were selected for de-identification tests. Tests were performed by using the system's default de-identification profile and, subsequently, the tools' best adjusted settings. We aimed to eliminate fifty elements considered to contain identifying patient information. The tools were also examined for their respective methods of customization. Only one tool was able to de-identify all required elements with the default setting. Not all of the toolkits provide a customizable de-identification profile. Six tools allowed changes by selecting the provided profiles, giving input through a graphical user interface (GUI) or configuration text file, or providing the appropriate command-line arguments. Using adjusted settings, four of those six toolkits were able to perform full de-identification. Only five tools could properly de-identify the defined DICOM elements, and in four cases, only after careful customization. Therefore, free DICOM toolkits should be used with extreme care to prevent the risk of disclosing PHI, especially when using the default configuration. In case optimal security is required, one of the five toolkits is proposed. • Free DICOM toolkits should be carefully used to prevent patient identity disclosure. • Each DICOM tool produces its own specific outcomes from the de-identification process. • In case optimal security is required, using one DICOM toolkit is proposed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Germany 1 <1%
France 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 21%
Student > Ph. D. Student 24 13%
Other 21 11%
Student > Master 18 10%
Student > Bachelor 9 5%
Other 37 20%
Unknown 36 20%
Readers by discipline Count As %
Medicine and Dentistry 42 23%
Computer Science 33 18%
Engineering 22 12%
Physics and Astronomy 5 3%
Nursing and Health Professions 4 2%
Other 28 15%
Unknown 49 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2023.
All research outputs
#4,186,611
of 25,366,663 outputs
Outputs from European Radiology
#477
of 4,952 outputs
Outputs of similar age
#49,263
of 273,470 outputs
Outputs of similar age from European Radiology
#10
of 78 outputs
Altmetric has tracked 25,366,663 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,952 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.